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Data Analytics Intern Jobs in Bothell, WA (NOW HIRING)

Project Management Intern

Seattle, WA · On-site

$23.08 - $26.44/hr

The Intern role is intended to be a learning and contributing position. The position, within the ... Use data analysis to help guide the program * Identify areas of concerns or areas of opportunity

The Intern role is intended to be a learning and contributing position. The position, within the ... Use data analysis to help guide the program * Identify areas of concerns or areas of opportunity

Under direction of the Engineering Manager, the Engineering Intern position will work primarily ... data analytics and fault detection diagnostics. We lead the industry with building control products ...

Under direction of the Engineering Manager, the Engineering Intern position will work primarily ... data analytics and fault detection diagnostics. We lead the industry with building control products ...

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Data Analytics Intern information

See Bothell, WA salary details

$13

$25

$47

How much do data analytics intern jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for data analytics intern in Bothell, WA is $25.16, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $27.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

What is the difference between Data Analytics Intern vs Data Analyst?

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

What are the most commonly searched types of Data Analytics jobs in Bothell, WA? The most popular types of Data Analytics jobs in Bothell, WA are:
What job categories do people searching Data Analytics Intern jobs in Bothell, WA look for? The top searched job categories for Data Analytics Intern jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Analytics Intern jobs? Cities near Bothell, WA with the most Data Analytics Intern job openings:

Technical Intern (Masters or PhD)

Trunk Tools

Redmond, WA • On-site

$40/hr

Part-time

Posted 8 days ago


Job description

About Centific

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

About Job

We are looking for entry level Applied Scientists (through student worker program) with strong Python coding skills, passion for AI quality, the ability to learn, and hands-on experience in delivering exceptional AI experiences, which our customers have come to expect.

Responsibilities

  • Keeping a keen eye on the latest developments in the broad AI community.
  • Working with science, engineering, and program management teams to integrate the latest large language models (LLMs) such as OpenAI models and open-source models into production systems.
  • Collaborating with other researchers, data scientists, product managers, and engineers in the team to build tools and improve the end-to-end AI Quality of our production systems.
  • Leveraging data from various sources and domains to design and implement innovative solutions that achieve rigorous metrics and address customer needs.
  • Effectively communicating and demonstrating work to stakeholders

Required/Minimum Qualifications:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • 3 + years' experience coding in Python and experience in natural language processing or deep learning.
  • 1+ years' experience in a deep learning library, such as PyTorch or TensorFlow

Pay Rate : $40/hr

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.